This article describes a proposal and case study based on mobile phones and QR Codes to assist individuals with cognitive disabilities in their labour training and integration. This proposal, named AssisT-Task, is a full functional mobile application for Android smartphones and offers step-by-step guidance, establishing a learning method through task sequencing. It has been tested with a group of 10 users and 2 types of labour tasks. Through 7 recorded sessions, we compared the performance and the learning progress with the tool against the traditional assisting method, based on paper instructions. The results show that people with cognitive disabilities learnt and performed better and faster when using AssisT-Task than the traditional method, particularly on tasks that require cognitive effort rather than manual skills. This learning has proved to be essential to obtain an adequate degree of personal autonomy for people with cognitive impairment.
from #AlexandrosSfakianakis via Alexandros G.Sfakianakis on Inoreader http://ift.tt/2COHbYr
via IFTTT
Εγγραφή σε:
Σχόλια ανάρτησης (Atom)
Δημοφιλείς αναρτήσεις
-
We are excited to share with you the newest dentistry and patient safety editions recently added to STAT!Ref. As a reminder, all STAT!Ref c...
-
Abstract Sexual dimorphism in the human respiratory system has been previously reported at the skeletal (cranial and thoracic) level, but ...
-
Abstract The effects of oxygen addition on a helium-based flowing atmospheric pressure afterglow (FAPA) ionization source are explored. Sm...
-
Objective Both antitumor and antisecretory efficacies of dopamine agonists (DA) make them the first-line treatment of macroprolactinomas. Ho...
-
2016-12-10T02-17-59Z Source: Indo American Journal of Pharmaceutical Research M.R. Pradeep Kumar*, Shrinivas D. Joshi . With an objecti...
-
http://ift.tt/2svTdo9
-
The evaluation of mineral resources development efficiency is a typical multicriteria decision-making issue. Meanwhile, due to the limited e...
-
Photochem. Photobiol. Sci. , 2018, Accepted Manuscript DOI : 10.1039/C7PP00350A, Paper Yan Xie, Jianrong Gao, Shaozheng Zhang, Liang Wu F...
-
Background: Inferring the topology of gene regulatory networks (GRNs) from microarray gene expression data has many potential applications, ...
Δεν υπάρχουν σχόλια:
Δημοσίευση σχολίου